{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e7.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2016, 10:49:07
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta"
{txt}
{com}. 
. gen direct = .
{txt}(614 missing values generated)

{com}. replace direct = 1 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace direct = 1 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace direct = 5 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace direct = 5 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace direct = 5 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace direct = 0 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace direct = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace direct = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace direct = 5 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if direct == 5
{txt}(402 observations deleted)

{com}. ren direct t 
{res}{txt}
{com}. 
. set seed  358395
{txt}
{com}. sem (d <-  t  wl p)(p <-  t  wl)  , vce(cluster klassnummer)
{res}{txt}(1 observations with missing values excluded)

Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-160.89767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-160.89767}  

Structural equation model{col 49}Number of obs{col 67}= {res}       202
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-160.89767

{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3890047{col 26}{space 2} .1097348{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .1739284{col 67}{space 3} .6040809
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0435664{col 26}{space 2} .0381326{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4}-.1183049{col 67}{space 3} .0311721
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1102643{col 26}{space 2} .0391851{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .0334628{col 67}{space 3} .1870658
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5586763{col 26}{space 2}  .106649{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .3496481{col 67}{space 3} .7677046
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .2126244{col 26}{space 2} .0852991{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0454412{col 67}{space 3} .3798075
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1697264{col 26}{space 2} .0422682{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .0868822{col 67}{space 3} .2525706
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5677524{col 26}{space 2} .0949643{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} .3816258{col 67}{space 3} .7538791
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     var(e.d){c |}{col 14}{res}{space 2} .0218825{col 26}{space 2} .0070051{col 54}{space 4} .0116844{col 67}{space 3} .0409814
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0540589{col 26}{space 2} .0158996{col 54}{space 4} .0303749{col 67}{space 3}   .09621
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       202{col 27}        .{col 38}-160.8977{col 49}     8{col 58} 337.7953{col 69} 364.2615
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3890047{col 26}{space 2} .1097348{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .1739284{col 67}{space 3} .6040809
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0435664{col 26}{space 2} .0381326{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4}-.1183049{col 67}{space 3} .0311721
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1102643{col 26}{space 2} .0391851{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .0334628{col 67}{space 3} .1870658
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .2126244{col 26}{space 2} .0852991{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0454412{col 67}{space 3} .3798075
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1697264{col 26}{space 2} .0422682{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .0868822{col 67}{space 3} .2525706
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2} .0827119{col 26}{space 2} .0254288{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0328724{col 67}{space 3} .1325513
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0660244{col 26}{space 2} .0219394{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4}  .023024{col 67}{space 3} .1090248
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3890047{col 26}{space 2} .1097348{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .1739284{col 67}{space 3} .6040809
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0391455{col 26}{space 2} .0237554{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.0074143{col 67}{space 3} .0857053
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1762887{col 26}{space 2} .0471964{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .0837853{col 67}{space 3}  .268792
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .2126244{col 26}{space 2} .0852991{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0454412{col 67}{space 3} .3798075
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1697264{col 26}{space 2} .0422682{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .0868822{col 67}{space 3} .2525706
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <-  t  wl p)(p <-  t  wl)  , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       202
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0660244{col 26}{space 2} .0252385{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0165578{col 67}{space 3}  .115491
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .1762887{col 26}{space 2} .0352066{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4}  .107285{col 67}{space 3} .2452923
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       202
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .06602436{col 27}{space 2}  -.00049{col 38}{space 2} .02523852{col 51}{space 2} .0224276{col 63}{space 1} .1222377{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0252258{col 63}{space 1} .1290168{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .17628866{col 27}{space 2}-.0012388{col 38}{space 2} .03520658{col 51}{space 2} .1024885{col 63}{space 1} .2455771{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .1064378{col 63}{space 1} .2476259{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <- wl  t  p)(p <- wl  t )   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       202
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0827119{col 26}{space 2} .0236891{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} .0362821{col 67}{space 3} .1291416
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .0391455{col 26}{space 2}  .027573{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.0148967{col 67}{space 3} .0931877
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       202
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .08271187{col 27}{space 2}-.0009201{col 38}{space 2} .02368908{col 51}{space 2} .0393607{col 63}{space 1} .1318444{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0422761{col 63}{space 1} .1379481{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .03914551{col 27}{space 2}-.0007199{col 38}{space 2} .02757304{col 51}{space 2}-.0146831{col 63}{space 1}  .095683{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0115845{col 63}{space 1} .0983973{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       190
                                                {txt}F(3, 186)         =  {res}     2.35
                                                {txt}Prob > F          = {res}    0.0740
                                                {txt}R-squared         = {res}    0.0331
                                                {txt}Root MSE          =    {res} .47941

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2} .1696304{col 26}{space 2} .0750815{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4} .0215095{col 67}{space 3} .3177512
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .0152274{col 26}{space 2} .1211836{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.2238437{col 67}{space 3} .2542985
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.1901671{col 26}{space 2} .1350376{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.4565693{col 67}{space 3} .0762352
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6529152{col 26}{space 2} .0986016{col 37}{space 1}    6.62{col 46}{space 3}0.000{col 54}{space 4} .4583939{col 67}{space 3} .8474365
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e7.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2016, 10:51:06
{txt}{.-}
{smcl}
{txt}{sf}{ul off}